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pythonpandasmatrixmultiple-columns

Creating new dataframe with column name and value from other dataframe


I have df1 like this:

        id
   0   MC01
   1   MC02
   2   MC03

Then another df2 like this:

   employee   mins
      A        8.0
      B        7.5
      C        6.3
      D        9.1
      E        8.4
      F        6.1

I want to combine both dataframe into matrix like this:

   employee   MC01    MC02    MC03
      A        8.0     8.0     8.0
      B        7.5     7.5     7.5
      C        6.3     6.3     6.3
      D        9.1     9.1     9.1
      E        8.4     8.4     8.4
      F        6.1     6.1     6.1

And this code will running continuously with different value/datashape. Please help me on this matter. Thanks in advance!


Solution

  • You can do something like this:

    df3 = pd.DataFrame()
    df3['employee'] = df2['employee']
    for col in df1['id']:
        df3[col] = df2['mins']
    
    >>> df3
        employee    MC01    MC02    MC03
    0   A   8.0 8.0 8.0
    1   B   7.5 7.5 7.5
    2   C   6.3 6.3 6.3
    3   D   9.1 9.1 9.1
    4   E   8.4 8.4 8.4
    5   F   6.1 6.1 6.1